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Book Summary
This textbook provides a comprehensive framework for managing entity data across its lifecycle, from creation to retirement. It covers data quality, governance, and integration strategies essential for master data management. Ideal for data professionals and students, it offers practical methods to ensure accurate, consistent entity information in organizational systems.
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About Entity Information Life Cycle for...
Entity Information Life Cycle for Big Data: Master Data Management and Information Integration by John R. Talburt is a definitive guide to understanding and implementing entity information lifecycle management. The book explores how to maintain accurate and consistent entity data across disparate systems, covering key concepts such as entity resolution, data quality, and master data management. It provides a structured approach to managing entity information from creation through archival, emphasizing the importance of data governance and integration. With practical examples and methodologies, Talburt addresses the challenges of big data and offers strategies for ensuring data integrity. This textbook is essential for anyone involved in data management, information systems, or analytics, offering both theoretical foundations and actionable insights for real-world applications.
Who should read Entity Information Life Cycle for...?
This book is ideal for data management professionals, including data stewards, architects, and analysts, who need to implement effective entity information lifecycle strategies. It is also valuable for IT managers and consultants involved in master data management and data integration projects. Students and researchers in information systems, computer science, and data science will find it a comprehensive resource for understanding data quality and governance. Additionally, business leaders seeking to improve data-driven decision-making will benefit from its practical guidance.
Pros & Cons
Pros
- ✓ Provides a comprehensive framework for entity information lifecycle management
- ✓ Offers practical strategies for master data management and data integration
- ✓ Includes real-world examples and case studies
- ✓ Written by a recognized expert in data quality and entity resolution
- ✓ Covers both theoretical foundations and actionable techniques
Cons
- ✗ May be too technical for beginners without a data management background
- ✗ Focuses heavily on big data contexts, which may not apply to smaller organizations
- ✗ Some concepts are repeated across chapters
- ✗ Lacks step-by-step tutorials for specific software tools
- ✗ Assumes familiarity with basic data management principles
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Frequently asked questions
What is entity information lifecycle management?
Entity information lifecycle management is the process of managing entity data from its creation through its archival or retirement, ensuring accuracy, consistency, and quality throughout its lifecycle.
Is this book suitable for beginners?
While the book provides a thorough introduction, some prior knowledge of data management concepts is recommended to fully grasp the material.
Does the book cover big data technologies?
Yes, the book addresses the challenges of managing entity information in big data environments and discusses relevant technologies and strategies.
Are there practical examples included?
Yes, the book includes numerous examples and case studies to illustrate the concepts and techniques discussed.
Is this book part of a series?
No, it is a standalone textbook focused on entity information lifecycle management.
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